隐喻
概念化
计算机科学
集合(抽象数据类型)
扩展(谓词逻辑)
读写能力
心理学
认知科学
数学教育
人工智能
教育学
语言学
程序设计语言
哲学
出处
期刊:Metaphor in language, cognition, and communication
日期:2015-07-02
卷期号:: 119-138
被引量:5
标识
DOI:10.1075/milcc.3.05arm
摘要
Metaphor-elicitation protocols can provide data that allow researchers a window onto a participant’s conceptualizations on a particular target. These insights can be immensely useful for investigations of academic language and literacy learning. However, such studies can be greatly enhanced when the conceptualization data can be tied to actual learner practice. Through continued researcher-participant discussion and examination of concrete examples – an extension of the standard stem-prompt completion approach – researchers can simultaneously ensure a richer data set through triangulation and also provide a built-in metaphor check. This chapter describes one such extension technique, called a Retrospective Metaphor Interview (RMI). A sample protocol and insights from two implementations of RMIs are provided to demonstrate the potential utility of this extension technique.
科研通智能强力驱动
Strongly Powered by AbleSci AI